染色体微阵列产前诊断:是时候改变政策了?

Peter Miny, Friedel Wenzel, Sevgi Tercanli, Isabel Filges
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引用次数: 9

摘要

微阵列已经取代了传统的核型,成为出生后细胞遗传学中不平衡染色体异常的一线检测方法,主要是因为其前所未有的分辨率有助于以10-20%的速度检测亚显微拷贝数变化,这取决于检测的指示。许多研究已经解决了微阵列在由于超声异常发现而导致的高风险妊娠中染色体分析的性能,并报道了5%至10%的超额检出率。在低风险妊娠中,亚显微水平上明显的致病拷贝数变化在1%或更少。临床意义不明确的变异,未经请求的发现,以及拷贝数变化与可变表型后果是产前设置中关注的主要问题,提出了困难的管理问题。微阵列检测的益处可能仅限于风险适度增加的妊娠(高龄产妇,妊娠早期检测阳性)。建议在拷贝数变化的临床意义获得更多数据之前,不要改变目前微阵列在产前诊断中的应用政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Chromosomal Microarrays in Prenatal Diagnosis: Time for a Change of Policy?

Chromosomal Microarrays in Prenatal Diagnosis: Time for a Change of Policy?

Chromosomal Microarrays in Prenatal Diagnosis: Time for a Change of Policy?

Microarrays have replaced conventional karyotyping as a first-tier test for unbalanced chromosome anomalies in postnatal cytogenetics mainly due to their unprecedented resolution facilitating the detection of submicroscopic copy number changes at a rate of 10-20% depending on indication for testing. A number of studies have addressed the performance of microarrays for chromosome analyses in high risk pregnancies due to abnormal ultrasound findings and reported an excess detection rate between 5% and 10%. In low risk pregnancies, clear pathogenic copy number changes at the submicroscopic level were encountered in 1% or less. Variants of unclear clinical significance, unsolicited findings, and copy number changes with variable phenotypic consequences are the main issues of concern in the prenatal setting posing difficult management questions. The benefit of microarray testing may be limited in pregnancies with only moderately increased risks (advanced maternal age, positive first trimester test). It is suggested to not change the current policy of microarray application in prenatal diagnosis until more data on the clinical significance of copy number changes are available.

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来源期刊
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审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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